Slides from a Webinar I did for the Cognitive Computing Consortium, including a compare-and-contrast of Google and Microsoft's AI platforms and approaches

1. Comparing Google and Microsoft’s Cognitive Services
The Race Is On
June 2017
Jeff Fried
CTO, BA Insight

2. The Cognitive Arms Race

3. Agent Bots Cognitive Machine Learning Augmented Reality
Microsoft Cortana Bot Framework Cognitive Services
- Vision
- Speech
- Language
- Knowledge
- Search
- Labs
Azure ML
Cognitive Toolkit
Hololens
Google Google Assistant API.AI Cloud Vision API
Cloud Video Intelligence
Cloud Speech API
Cloud Natural Language API
Google Knowledge Graph
Google Custom Search
ML Advanced Solutions Lab
Cloud ML Engine
TensorFlow
Glass at Work
Daydream/Tango
IBM Watson Virtual Agent Watson Conversation Watson APIs
- Vision
- Speech
- Language
- Data Insights
Watson ML Service
Apache SystemML
Amazon Alexa Amazon Lex Rekognition
Polly
Amazon ML
Apple Siri SiriKit
Speech
Core ML ARKit
Facebook Facebook M ParlAI FastText
CommAI
Torch Oculus Rift
The Cognitive Arms Race
Today, we’ll focus on Microsoft and Google
events/messages; cognitive services; example project; DX

6. BA Insight Confidential

7. BA Insight Confidential

8. Agent Applications Services Infrastructure
Microsoft AI Portfolio
Cortana Office 365
Dynamics 365
SwiftKey
Pix
Customer Service
and Support
Bot Framework
Cognitive Services
Cortana Intelligence
Cognitive Toolkit
Azure Machine
Learning
Azure N Series
FPGA
People

9. Microsoft
Cognitive
Services
Give your apps
a human side

11. Image Classifier and Search
project libraries
and
issue detection
Search Visualization Workflow

13. Sales Assistant: Logical Architecture
Client
App/Device
CRIS
Voice to Text
LUIS
Semantics
Extraction
Web Service
App/API
Data Sources
Text to
Speech
ML Studio
Service
EndPoints
Power BI
Bot FX
SQL Server
or DW
Document
Db
Key/ValueGraph Db
Table
Store
BLOB
Microsoft Azure
Voice Data
Text + Tabular
Data & Power BI
Visuals
Human
User
Voice
Capture
Polyglot

14. The Cognitive Arms Race:
focus is now on winning developers

15. ▪
→
▪
→
▪
→
Observations/Recommendations

16. Contact:
@jefffried
Jeff.Fried@BAinsight.com
www.BAinsight.com
Discussion/Q&A

17. Background slides

18. Agent Bots Cognitive Machine Learning Augmented Reality
Microsoft Cortana Bot Framework Cognitive Services
- Vision
- Speech
- Language
- Knowledge
- Search
- Labs
Azure ML
Cognitive Toolkit
Hololens
Google Google Assistant API.AI Cloud Vision API
Cloud Video Intelligence
Cloud Speech API
Cloud Natural Language API
Google Knowledge Graph
Google Custom Search
ML Advanced Solutions Lab
Cloud ML Engine
TensorFlow
Glass at Work
Daydream/Tango
IBM Watson Virtual Agent Watson Conversation Watson APIs
- Vision
- Speech
- Language
- Data Insights
Watson ML Service
Apache SystemML
Amazon Alexa Amazon Lex Rekognition
Polly
Amazon ML
Apple Siri SiriKit
Speech
Core ML ARKit
Facebook Facebook M ParlAI FastText
CommAI
Torch Oculus Rift
The Cognitive Arms Race

19. Content
Content
Processing
Search
Index
Search UI
ML applied to search
Query
Processing
Learning about content structure Learning about user intent
Analytics
Behavioral data to drive learning
Learning to rank

20. ▪
–
▪
–
▪
–
BA Insight Approach
Connectivity
Classification
Applications
Analytics
Search
Engines
Environments

21. Quickstart
guide
Graph data
Get curious
– ask a
question
See some
results –
how well
did it go
Pick a
common
ML tool and
sample
data
Disease or not disease?
MicrosoftML

22. Option A – Prebuilt Solutions
 Cognitive Services API
 Azure Gallery

23. Option B – Manual Solutions
 Microsoft R Server
 Azure Machine Learning Studio

24. Option B – Manual Solutions (cont’d)
 Cognitive Toolkit Tensor Flow